Support vector machine classification of arterial volume-weighted arterial spin tagging images.
Support vector machine classification of arterial volume-weighted arterial spin tagging images.
复制标题
DOI：
10.1002/brb3.549
复制
发表时间：
2016-12
影响因子：
3.1
通讯作者：
Peltier, Scott J.
中科院分区：
文献类型：
--
作者：
Shah, Yash S.;Hernandez-Garcia, Luis;Jahanian, Hesamoddin;Peltier, Scott J.
近年来，机器学习技术在医学图像分析中越来越受欢迎。大脑时间状态分类是机器学习技术在功能磁共振成像（fMRI）大脑数据中的主要应用之一。本文探讨了使用支持向量机（SVM）分类技术和运动视觉激活范式来将大脑状态分类为激活和休息，重点是不同的采集技术。使用最近开发的传统伪连续动脉自旋标记技术的变体（称为动脉体积加权动脉自旋标记（AVAST））获取图像。分类方案还对使用血氧水平相关（BOLD）和传统灌注加权动脉自旋标记（ASL）技术采集的图像进行比较。 AVAST 技术优于传统的伪连续 ASL，实现了与 BOLD 对比图像相当的分类精度。这项研究表明，与传统的灌注加权 ASL 相比，AVAST 具有卓越的信噪比和更高的时间分辨率，与 BOLD 相比，对扫描仪漂移的敏感性更低。由于这些特性，AVAST 使其成为动态 fMRI 和具有持续激活周期的实时神经反馈实验的理想选择。
In recent years, machine‐learning techniques have gained growing popularity in medical image analysis. Temporal brain‐state classification is one of the major applications of machine‐learning techniques in functional magnetic resonance imaging (fMRI) brain data. This article explores the use of support vector machine (SVM) classification technique with motor‐visual activation paradigm to perform brain‐state classification into activation and rest with an emphasis on different acquisition techniques. Images were acquired using a recently developed variant of traditional pseudocontinuous arterial spin labeling technique called arterial volume‐weighted arterial spin tagging (AVAST). The classification scheme is also performed on images acquired using blood oxygenation–level dependent (BOLD) and traditional perfusion‐weighted arterial spin labeling (ASL) techniques for comparison. The AVAST technique outperforms traditional pseudocontinuous ASL, achieving classification accuracy comparable to that of BOLD contrast images. This study demonstrates that AVAST has superior signal‐to‐noise ratio and improved temporal resolution as compared with traditional perfusion‐weighted ASL and reduced sensitivity to scanner drift as compared with BOLD. Owing to these characteristics, AVAST lends itself as an ideal choice for dynamic fMRI and real‐time neurofeedback experiments with sustained activation periods.
登录
查看更多内容
影响因子：
5.7
作者：
LaConte, S;Anderson, J;Strother, S
通讯作者：
Strother, S
DOI：
10.1098/rstb.2005.1634
发表时间：
2005-05-29
影响因子：
6.3
作者：
Beckmann, CF;DeLuca, M;Smith, SM
通讯作者：
Smith, SM
影响因子：
3.3
作者：
Jahanian, Hesamoddin;Peltier, Scott;Garcia, Luis Hernandez
通讯作者：
Garcia, Luis Hernandez
影响因子：
5.7
作者：
LaConte, S;Strother, S;Hu, XP
通讯作者：
Hu, XP
影响因子：
4.8
作者：
LaConte, Stephen M.;Peltier, Scott J.;Hu, Xiaoping P.
通讯作者：
Hu, Xiaoping P.